Integrate the Signaturely API with the Python API

Setup the Signaturely API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Signaturely and Python remarkably fast. Free for developers.

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Popular Ways to Connect Signaturely with Python#

Run Python Code with Python API on Document Sent (Instant) from Signaturely API

Signaturely + Python

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Run Python Code with Python API on Signature Request Sent (Instant) from Signaturely API

Signaturely + Python

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Popular Signaturely and Python Triggers#

Document Sent (Instant) from the Signaturely API

Triggers when a document is sent. See the documentation

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Signature Request Sent (Instant) from the Signaturely API

Triggers when a new signature request has been sent. See the documentation

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Popular Signaturely and Python Actions#

Create Signature Request with the Signaturely API

Creates a new signature request. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of Signaturely#

Signaturely API lets you automate document signing processes within your apps. You can harness this functionality on Pipedream to create, send, and manage legally-binding signatures on documents without manual intervention. Whether you're sending contracts, onboarding new employees, or needing signatures from clients, integrating Signaturely with Pipedream can streamline your workflow, save time, and reduce errors.

Connect Signaturely#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    signaturely: {
      type: "app",
      app: "signaturely",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.signaturely.com/api/v1/user/by-api`,
      headers: {
        "Authorization": `Api-Key ${this.signaturely.$auth.api_key}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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